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  • Proceedings of International Conference on Artificial Intelligence and Networks: ICAIN 2024, Volume 2

    Proceedings of International Conference on Artificial Intelligence and Networks by Virdee, Bal; Correia, Sérgio Duarte; Bedi, Punam; Swaroop, Abhishek;

    ICAIN 2024, Volume 2

    Series: Lecture Notes in Networks and Systems; 1269;

      • GET 12% OFF

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      • Publisher's listprice EUR 267.49
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        110 941 Ft (105 658 Ft + 5% VAT)
      • Discount 12% (cc. 13 313 Ft off)
      • Discounted price 97 628 Ft (92 979 Ft + 5% VAT)

    110 941 Ft

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    Long description:

    This book presents selected papers from International Conference on Artificial Intelligence and Networks (ICAIN 2024), held on 24–25 September 2024, in Guru Tegh Bahadur Institute of Technology (GTBIT), GGSIPU, Delhi, India. The topics covered in the book are deep learning, machine learning, natural language processing, data science and analytics, cybersecurity and privacy, cloud computing, and wireless and mobile networks.

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    Table of Contents:

    Chapter 1 : A Study on Vision-Based Fire Detection using Deep Learning.- Chapter 2 : Cognitive Impact of Air Pollution using Machine Learning: a critical analysis.- Chapter 3 : Predictive Analytics to Evaluate High-Impact IPOs for Sustainable Value Creation.- Chapter 4 : Earthquake Magnitude Prediction using machine learning.- Chapter 5 : Personal Credit Score Generator using Federated Learning for Financial Stress Management.- Chapter 6 : Real Time Traffic Sign Recognition.- Chapter 7 : Leveraging Artificial Intelligence for Enhanced IoT Security: A Multi-Objective Threat Mitigation Strategy.- Chapter 8 : Comparative Analysis of CT-Scan Images for the prediction of Brain Stroke in Mid-lifers Using CNN Technique.- Chapter 9 : Effective Machine Learning based System for Classification and Prediction of DDoS Attack.-

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